3 citations · 4 across the 8 of their papers we have counts for
8 papers
When More Cores Hurts: The Vector Database Scaling Paradox in HPC
Seth Ockerman, Song Young Oh, Amal Gueroudji +12
Vector databases have been designed and optimized for cloud environments; however, emerging scientific AI workloads (e.g., molecular search, meteorological trajectory detection, an…
STELLAR: Storage Tuning Engine Leveraging LLM Autonomous Reasoning for High Performance Parallel File Systems
Chris Egersdoerfer, Philip Carns, Shane Snyder +2
I/O performance is crucial to efficiency in data-intensive scientific computing; but tuning large-scale storage systems is complex, costly, and notoriously manpower-intensive, maki…
Thallus: An RDMA-based Columnar Data Transport Protocol
Jayjeet Chakraborty, Matthieu Dorier, Philip Carns +3
The volume of data generated and stored in contemporary global data centers is experiencing exponential growth. This rapid data growth necessitates efficient processing and analysi…
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations
Francieli Boito, Jim Brandt, Valeria Cardellini +24
Many High Performance Computing (HPC) facilities have developed and deployed frameworks in support of continuous monitoring and operational data analytics (MODA) to help improve ef…
A Taxonomy of Error Sources in HPC I/O Machine Learning Models
Mihailo Isakov, Mikaela Currier, Eliakin del Rosario +6
I/O efficiency is crucial to productivity in scientific computing, but the increasing complexity of the system and the applications makes it difficult for practitioners to understa…
Tools for Analyzing Parallel I/O
Julian M. Kunkel, Eugen Betke, Matt Bryson +5
Parallel application I/O performance often does not meet user expectations. Additionally, slight access pattern modifications may lead to significant changes in performance due to…
A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems
Neda Tavakoli, Dong Dai, John Jenkins +3
High-performance computing (HPC) storage systems become increasingly critical to scientific applications given the data-driven discovery paradigm shift. As a storage solution for l…
A Remote Procedure Call Approach for Extreme-scale Services
Jerome Soumagne, Philip H. Carns, Dries Kimpe +2
When working at exascale, the various constraints imposed by the extreme scale of the system bring new challenges for application users and software/middleware developers. In that…